Individualized identification of sexual dysfunction of psychiatric patients with machine-learning

Sexual dysfunction (SD) is prevalent in patients with mental health disorders and can significantly impair their quality of life. Early recognition of SD in a clinical setting may help patients and clinicians to optimize treatment options of SD and/or other primary diagnoses taking SD risk into acco...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yang S., Hankey, Jeffrey R., Chokka, Stefani, Chokka, Pratap R., Cao, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187754/
https://www.ncbi.nlm.nih.gov/pubmed/35688888
http://dx.doi.org/10.1038/s41598-022-13642-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187754/
https://www.ncbi.nlm.nih.gov/pubmed/35688888
http://dx.doi.org/10.1038/s41598-022-13642-y

Ejemplares similares